Category: Analytics

Sisense Fusion Embed and Amazon Redshift Serverless provide customers with an integrated and seamless AI-powered data analytics experiences combined with predictive intelligence, natural language querying, and more. Together, these solutions enable data-driven decisions and deliver business insights at the point of decision making. Explore the benefits and synergy of these two powerful data solutions and how they can help organizations turn data into actionable insights.

Precisely’s geo addressing solution is coupled with data enrichment to enable organizations to accelerate the use of address data and quickly associate rich, relevant contextual information to power faster and more confident decision-making. The Precisely Geo Addressing SDK allows organizations to develop and deploy geocoding desktop, mobile, or web applications capable of delivering location information for over 250 countries and territories.

To sustain innovation and drive business value, organizations are realizing the importance of decentralization of data products using a data mesh architectural design approach. Experts from AWS and IBM explain how to set the right balance of business ownership using data mesh to modernize data platform and accelerate innovation. We’ll also describe referenceable techniques to build data mesh solutions using AWS native services including Amazon DataZone, AWS Lake Formation, and AWS Glue.

Many institutions in financial services are in the early stages of their cloud journey. While each has their own IT landscape and cloud strategy, one question is common among many organizations: “How can I simplify my data ingest pipelines?” FactSet is a leading provider of financial services market and alternative data that can help consumers access their data in simple and scalable ways, while removing the administrative tasks that do not add value to the business.

Rapid changes in business intelligence and analytics solutions means companies are continually over-investing in solutions that rapidly age. With DXC Technology’s Analytics and AI Platform (AAIP), you can develop and deploy new analytics applications in weeks. Learn about the features and benefits of AAIP, which helps you look further and deeper, gaining business insights from data you could not previously access or manage.

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.

Enterprise data consumers often have difficulty discovering usable and trusted data. Learn how Collibra and AWS are collaborating to develop products and capabilities that facilitate data intelligence. Inovations include new capabilities that make it easier to migrate data and workloads to the cloud, as well as enhancements to search, collaboration, business process automation, and analytics. There are also new integrations that assist customers with data access, data governance, data quality, and observability in the cloud.

Healthcare organizations are looking to implement an approach for re-engineering existing architectures to iteratively adopt new technologies, and establish seamless integrations with existing systems internally as well as with their partner and client ecosystems. Emids CoreLAKE is a low-code data management platform built by practitioners with years of experience in healthcare. It’s a suite of accelerators with pre-built capabilities having specific focus on accelerating the data modernization agenda.

Managing existing brownfield buildings is a challenging task because teams usually lack accurate ground truth data. Object detection algorithms are a key technology to automate and scale the creation of a digital building twin, providing a solution to this challenge. For detecting objects in indoor environments with machine learning, learn how NavVis and AWS collaborated to build a digital building twin for a large industry customer.

With the advent of high-speed 5G networks, enterprises have sought to deliver low-latency experiences across industrial Internet of Things IoT (IIoT), media and entertainment, automotive, and beyond. At the core of these low latency experiences is data. This post builds on an earlier demonstration of MongoDB Realm on AWS Wavelength by amplifying the existing architecture with new features, and shows how to use the AWS Load Balancer Controller to deploy an Application Load Balancer in front of the database.